[mlpack] Tutorial for HyperParameterTuning for FFNs (Ambica Prasad)

[Benson Muite]

You may also want to examine the documentation on dropout:
https://www.mlpack.org/doc/mlpack-3.0.4/doxygen/classmlpack_1_1ann_1_1Dropout.html

On 11/7/20 9:15 PM, Aakash kaushik wrote:
> Hey Ambica
> 
> So There is not a specific tutorial available for that but you can 
> always put the layer size in an array and loop over that for variable 
> layers sizes or you can sample random integers from a range and for 
> layer numbers I believe you have to change them manually every time but 
> not totally sure about it.
> 
> Best,
> Aakash
> 
> On Sat, Nov 7, 2020 at 10:30 PM <mlpack-request at lists.mlpack.org 
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>         1. Tutorial for HyperParameterTuning for FFNs (Ambica Prasad)
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> 
>     ---------- Forwarded message ----------
>     From: Ambica Prasad <Ambica.Prasad at arm.com
>     <mailto:Ambica.Prasad at arm.com>>
>     To: "mlpack at lists.mlpack.org <mailto:mlpack at lists.mlpack.org>"
>     <mlpack at lists.mlpack.org <mailto:mlpack at lists.mlpack.org>>
>     Cc:
>     Bcc:
>     Date: Sat, 7 Nov 2020 02:36:39 +0000
>     Subject: [mlpack] Tutorial for HyperParameterTuning for FFNs
> 
>     Hi Guys,____
> 
>     __ __
> 
>     Is there an example or a tutorial that explains how to perform the
>     hyperparameter tuning for FFNs, where I can evaluate the network on
>     different number of layers and layer-sizes?____
> 
>     __ __
> 
>     Thanks,____
> 
>     Ambica____
> 
>     __ __
> 
>     __ __
> 
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